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--- |
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license: mit |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: EleutherAI/gpt-neo-125m |
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metrics: |
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- accuracy |
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model-index: |
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- name: mod_dep_fl-PEFT_mix-instruct |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mod_dep_fl-PEFT_mix-instruct |
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5502 |
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- Accuracy: -1701.4273 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:----------:| |
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| 4.5917 | 0.9524 | 10 | 2.8083 | -1780.3744 | |
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| 3.7289 | 2.0 | 21 | 2.6099 | -1691.0399 | |
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| 3.548 | 2.9524 | 31 | 2.5788 | -1751.4823 | |
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| 3.5153 | 4.0 | 42 | 2.5515 | -1766.1752 | |
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| 3.4735 | 4.7619 | 50 | 2.5502 | -1701.4273 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
